OpenSearch Fundamentals Training Course

This instructor-led, live training in US (online or onsite) is designed for developers and administrators seeking to leverage OpenSearch for distributed search and data analytics within a secure and unified environment.

Upon completion of this course, participants will be equipped to:

• Establish the required development environment to begin constructing search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Comprehend the three upgrade methodologies—snapshot, restart, and rolling—when transitioning from Elasticsearch OSS to OpenSearch.
• Gain proficiency in indexing data, creating data streams, executing queries, and optimizing cross-cluster operations within OpenSearch.
• Utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, and Grafana) to enhance the search experience while maintaining cluster security.
• Employ OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance activities for government operations.

OpenSearch is an extensible, open-source platform for search and analytics, engineered to support high-volume data indexing, observability, and real-time analytics within distributed infrastructure environments.

This instructor-led, live training—available in online or onsite delivery formats—is intended for senior engineers and architects responsible for designing, deploying, and managing OpenSearch clusters. The curriculum focuses on handling large-scale data ingestion and analytics workloads across both on-premises and AWS OpenSearch Service environments, with specific attention to solutions developed for government.

Upon completion of this training, participants will be equipped to:

• Architect and deploy highly scalable OpenSearch clusters across diverse infrastructure environments.
• Enhance indexing, search, and storage capabilities to ensure optimal performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service to support hybrid and managed deployment models.
• Establish robust observability, high availability, and automated recovery protocols.

Course Structure

• Instructor-led theoretical instruction accompanied by guided technical discussions.
• Comprehensive practical exercises designed to replicate real-world scaling scenarios.
• Applied laboratory sessions focused on distributed deployment architectures and performance tuning.

Customization Capabilities

• The course curriculum can be tailored to align with specific organizational requirements, including data volume targets, performance objectives, and deployment infrastructure constraints.

OpenSearch is an open-source search and analytics platform, derived from Elasticsearch. It delivers distributed search capabilities, log analysis, and observability features while eliminating licensing constraints and dependency on proprietary managed services.

This instructor-led live training session, available via remote or on-site delivery, targets intermediate DevOps professionals and search engineers seeking to transition from Amazon OpenSearch, Elastic Cloud, or Splunk implementations to an OpenSearch-based infrastructure.

Upon completion of this program, participants will be equipped to:

• Deploy and secure a multi-node OpenSearch cluster.
• Ingest logs, traces, and metrics using Beats, Fluent Bit, and OpenTelemetry.
• Create visualizations within OpenSearch Dashboards.
• Implement role-based access control (RBAC) and index lifecycle management policies.

Course Format

• Interactive instruction with collaborative discussion.
• Extensive practical exercises.
• Real-time implementation within a live-lab environment.

Customization for government**

• To request customized training tailored for government requirements, please contact us to arrange the schedule.